Overview

Brought to you by YData

Dataset statistics

Number of variables	63
Number of observations	438
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	215.7 KiB
Average record size in memory	504.3 B

Variable types

Numeric	12
Categorical	51

Alerts

`acousticness` is highly overall correlated with `energy`	High correlation
`backing_instruments` is highly overall correlated with `style_Rock`	High correlation
`country_Andorra` is highly overall correlated with `loudness(dB)`	High correlation
`danceability` is highly overall correlated with `happiness`	High correlation
`energy` is highly overall correlated with `acousticness` and 2 other fields	High correlation
`gender_Mix` is highly overall correlated with `main_singers`	High correlation
`happiness` is highly overall correlated with `danceability` and 1 other fields	High correlation
`loudness(dB)` is highly overall correlated with `country_Andorra` and 1 other fields	High correlation
`main_singers` is highly overall correlated with `gender_Mix`	High correlation
`style_Rock` is highly overall correlated with `backing_instruments`	High correlation
`country_Andorra` is highly imbalanced (97.7%)	Imbalance
`country_Armenia` is highly imbalanced (84.3%)	Imbalance
`country_Australia` is highly imbalanced (89.6%)	Imbalance
`country_Austria` is highly imbalanced (84.3%)	Imbalance
`country_Azerbaijan` is highly imbalanced (81.9%)	Imbalance
`country_Belarus` is highly imbalanced (83.1%)	Imbalance
`country_Belgium` is highly imbalanced (80.7%)	Imbalance
`country_Bosnia and Herzegovina` is highly imbalanced (91.0%)	Imbalance
`country_Bulgaria` is highly imbalanced (84.3%)	Imbalance
`country_Croatia` is highly imbalanced (83.1%)	Imbalance
`country_Cyprus` is highly imbalanced (81.9%)	Imbalance
`country_Czech Republic` is highly imbalanced (86.8%)	Imbalance
`country_Denmark` is highly imbalanced (81.9%)	Imbalance
`country_Estonia` is highly imbalanced (80.7%)	Imbalance
`country_Finland` is highly imbalanced (80.7%)	Imbalance
`country_Georgia` is highly imbalanced (84.3%)	Imbalance
`country_Greece` is highly imbalanced (80.7%)	Imbalance
`country_Hungary` is highly imbalanced (84.3%)	Imbalance
`country_Iceland` is highly imbalanced (80.7%)	Imbalance
`country_Ireland` is highly imbalanced (80.7%)	Imbalance
`country_Israel` is highly imbalanced (83.1%)	Imbalance
`country_Latvia` is highly imbalanced (81.9%)	Imbalance
`country_Lithuania` is highly imbalanced (80.7%)	Imbalance
`country_Malta` is highly imbalanced (80.7%)	Imbalance
`country_Moldova` is highly imbalanced (81.9%)	Imbalance
`country_Montenegro` is highly imbalanced (84.3%)	Imbalance
`country_Netherlands` is highly imbalanced (81.9%)	Imbalance
`country_North Macedonia` is highly imbalanced (81.9%)	Imbalance
`country_Norway` is highly imbalanced (81.9%)	Imbalance
`country_Poland` is highly imbalanced (83.1%)	Imbalance
`country_Portugal` is highly imbalanced (85.5%)	Imbalance
`country_Romania` is highly imbalanced (81.9%)	Imbalance
`country_Russia` is highly imbalanced (84.3%)	Imbalance
`country_San Marino` is highly imbalanced (84.3%)	Imbalance
`country_Serbia` is highly imbalanced (83.1%)	Imbalance
`country_Slovakia` is highly imbalanced (94.1%)	Imbalance
`country_Slovenia` is highly imbalanced (81.9%)	Imbalance
`country_Sweden` is highly imbalanced (83.1%)	Imbalance
`country_Switzerland` is highly imbalanced (80.7%)	Imbalance
`country_Turkey` is highly imbalanced (94.1%)	Imbalance
`country_Ukraine` is highly imbalanced (84.3%)	Imbalance
`language_Mixed` is highly imbalanced (55.2%)	Imbalance
`style_Opera` is highly imbalanced (94.1%)	Imbalance
`style_Rock` is highly imbalanced (63.1%)	Imbalance
`style_Traditional` is highly imbalanced (59.8%)	Imbalance
`gender_Mix` is highly imbalanced (57.4%)	Imbalance
`acousticness` has 61 (13.9%) zeros	Zeros
`backing_dancers` has 290 (66.2%) zeros	Zeros
`backing_singers` has 277 (63.2%) zeros	Zeros
`backing_instruments` has 297 (67.8%) zeros	Zeros

Reproduction

Analysis started	2024-10-22 09:35:14.597455
Analysis finished	2024-10-22 09:35:49.278005
Duration	34.68 seconds
Software version	ydata-profiling vv4.11.0
Download configuration	config.json

semi_draw_position
Real number (ℝ)

Distinct	19
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9.2945205

Minimum	1
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	5
median	9
Q3	14
95-th percentile	17
Maximum	19
Range	18
Interquartile range (IQR)	9

Descriptive statistics

Standard deviation	5.0970011
Coefficient of variation (CV)	0.54838774
Kurtosis	-1.1559081
Mean	9.2945205
Median Absolute Deviation (MAD)	4
Skewness	0.028518578
Sum	4071
Variance	25.979421
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
1	26	5.9%
8	26	5.9%
10	26	5.9%
4	25	5.7%
5	25	5.7%
6	25	5.7%
7	25	5.7%
9	25	5.7%
12	25	5.7%
13	25	5.7%
Other values (9)	185	42.2%

Value	Count	Frequency (%)
1	26	5.9%
2	24	5.5%
3	24	5.5%
4	25	5.7%
5	25	5.7%
6	25	5.7%
7	25	5.7%
8	26	5.9%
9	25	5.7%
10	26	5.9%

Value	Count	Frequency (%)
19	4	0.9%
18	14	3.2%
17	20	4.6%
16	25	5.7%
15	25	5.7%
14	25	5.7%
13	25	5.7%
12	25	5.7%
11	24	5.5%
10	26	5.9%

main_singers
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.3105023

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	6
Range	5
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.87132253
Coefficient of variation (CV)	0.66487677
Kurtosis	14.587233
Mean	1.3105023
Median Absolute Deviation (MAD)	0
Skewness	3.6691683
Sum	574
Variance	0.75920295
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	364	83.1%
2	45	10.3%
3	13	3.0%
6	7	1.6%
4	6	1.4%
5	3	0.7%

Value	Count	Frequency (%)
1	364	83.1%
2	45	10.3%
3	13	3.0%
4	6	1.4%
5	3	0.7%
6	7	1.6%

Value	Count	Frequency (%)
6	7	1.6%
5	3	0.7%
4	6	1.4%
3	13	3.0%
2	45	10.3%
1	364	83.1%

key
Real number (ℝ)

Distinct	24
Distinct (%)	5.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	302.36381

Minimum	130.81
Maximum	739.99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	130.81
5-th percentile	146.83
Q1	196
median	261.63
Q3	386.4975
95-th percentile	554.37
Maximum	739.99
Range	609.18
Interquartile range (IQR)	190.4975

Descriptive statistics

Standard deviation	142.13033
Coefficient of variation (CV)	0.47006396
Kurtosis	1.7040217
Mean	302.36381
Median Absolute Deviation (MAD)	87.02
Skewness	1.342429
Sum	132435.35
Variance	20201.031
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=24)

Value	Count	Frequency (%)
261.63	37	8.4%
246.94	28	6.4%
164.81	25	5.7%
220	25	5.7%
196	23	5.3%
146.83	23	5.3%
174.61	22	5.0%
392	22	5.0%
233.08	20	4.6%
293.66	20	4.6%
Other values (14)	193	44.1%

Value	Count	Frequency (%)
130.81	18	4.1%
146.83	23	5.3%
164.81	25	5.7%
174.61	22	5.0%
196	23	5.3%
207.65	17	3.9%
220	25	5.7%
233.08	20	4.6%
246.94	28	6.4%
261.63	37	8.4%

Value	Count	Frequency (%)
739.99	18	4.1%
622.25	3	0.7%
554.37	16	3.7%
493.88	5	1.1%
466.16	9	2.1%
440	19	4.3%
415.3	18	4.1%
392	22	5.0%
369.99	15	3.4%
349.23	15	3.4%

BPM
Real number (ℝ)

Distinct	98
Distinct (%)	22.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	116.19863

Minimum	53
Maximum	187
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	53
5-th percentile	77
Q1	97
median	120
Q3	130
95-th percentile	158
Maximum	187
Range	134
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	24.308925
Coefficient of variation (CV)	0.20920148
Kurtosis	-0.2690697
Mean	116.19863
Median Absolute Deviation (MAD)	16
Skewness	0.13234719
Sum	50895
Variance	590.92384
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
128	23	5.3%
120	21	4.8%
130	20	4.6%
125	11	2.5%
132	11	2.5%
122	11	2.5%
138	10	2.3%
90	10	2.3%
126	9	2.1%
123	9	2.1%
Other values (88)	303	69.2%

Value	Count	Frequency (%)
53	1	0.2%
66	1	0.2%
67	1	0.2%
69	1	0.2%
70	2	0.5%
72	3	0.7%
73	1	0.2%
74	1	0.2%
75	6	1.4%
76	4	0.9%

Value	Count	Frequency (%)
187	1	0.2%
183	1	0.2%
180	1	0.2%
176	2	0.5%
174	1	0.2%
172	3	0.7%
170	4	0.9%
168	1	0.2%
164	2	0.5%
163	1	0.2%

energy
Real number (ℝ)

High correlation

Distinct	78
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	68.358447

Minimum	9
Maximum	100
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	9
5-th percentile	32.85
Q1	56
median	71
Q3	83
95-th percentile	93
Maximum	100
Range	91
Interquartile range (IQR)	27

Descriptive statistics

Standard deviation	18.927945
Coefficient of variation (CV)	0.27689255
Kurtosis	-0.054536417
Mean	68.358447
Median Absolute Deviation (MAD)	13
Skewness	-0.70309856
Sum	29941
Variance	358.2671
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
76	16	3.7%
91	14	3.2%
70	12	2.7%
92	12	2.7%
67	12	2.7%
87	12	2.7%
82	12	2.7%
80	11	2.5%
64	10	2.3%
63	10	2.3%
Other values (68)	317	72.4%

Value	Count	Frequency (%)
9	1	0.2%
10	1	0.2%
15	1	0.2%
18	2	0.5%
19	1	0.2%
20	3	0.7%
21	2	0.5%
26	1	0.2%
28	1	0.2%
29	2	0.5%

Value	Count	Frequency (%)
100	1	0.2%
97	2	0.5%
96	6	1.4%
95	2	0.5%
94	9	2.1%
93	5	1.1%
92	12	2.7%
91	14	3.2%
90	6	1.4%
89	8	1.8%

danceability
Real number (ℝ)

High correlation

Distinct	69
Distinct (%)	15.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	55.780822

Minimum	17
Maximum	92
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	17
5-th percentile	30.85
Q1	46
median	57
Q3	66
95-th percentile	79.15
Maximum	92
Range	75
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	14.708064
Coefficient of variation (CV)	0.26367599
Kurtosis	-0.41232792
Mean	55.780822
Median Absolute Deviation (MAD)	10
Skewness	-0.20668602
Sum	24432
Variance	216.32714
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
66	17	3.9%
52	16	3.7%
58	15	3.4%
63	14	3.2%
50	13	3.0%
56	13	3.0%
57	13	3.0%
53	12	2.7%
71	11	2.5%
61	11	2.5%
Other values (59)	303	69.2%

Value	Count	Frequency (%)
17	2	0.5%
19	1	0.2%
20	1	0.2%
21	1	0.2%
22	1	0.2%
23	1	0.2%
25	1	0.2%
26	1	0.2%
27	4	0.9%
28	4	0.9%

Value	Count	Frequency (%)
92	1	0.2%
89	1	0.2%
88	1	0.2%
87	2	0.5%
83	6	1.4%
82	2	0.5%
81	5	1.1%
80	4	0.9%
79	2	0.5%
78	2	0.5%

happiness
Real number (ℝ)

High correlation

Distinct	88
Distinct (%)	20.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	44.833333

Minimum	4
Maximum	97
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	4
5-th percentile	14
Q1	28
median	41
Q3	61
95-th percentile	86
Maximum	97
Range	93
Interquartile range (IQR)	33

Descriptive statistics

Standard deviation	22.173068
Coefficient of variation (CV)	0.49456656
Kurtosis	-0.68268767
Mean	44.833333
Median Absolute Deviation (MAD)	16
Skewness	0.4578008
Sum	19637
Variance	491.64493
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30	11	2.5%
19	10	2.3%
32	10	2.3%
48	10	2.3%
31	9	2.1%
39	9	2.1%
36	9	2.1%
21	9	2.1%
28	9	2.1%
54	8	1.8%
Other values (78)	344	78.5%

Value	Count	Frequency (%)
4	1	0.2%
7	1	0.2%
8	2	0.5%
9	3	0.7%
10	3	0.7%
11	2	0.5%
12	5	1.1%
13	2	0.5%
14	4	0.9%
15	4	0.9%

Value	Count	Frequency (%)
97	2	0.5%
96	4	0.9%
93	2	0.5%
92	4	0.9%
89	4	0.9%
88	1	0.2%
87	4	0.9%
86	2	0.5%
85	3	0.7%
84	3	0.7%

loudness(dB)
Real number (ℝ)

High correlation

Distinct	15
Distinct (%)	3.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.0981735

Minimum	2
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	2
5-th percentile	3
Q1	4.25
median	6
Q3	7
95-th percentile	10
Maximum	18
Range	16
Interquartile range (IQR)	2.75

Descriptive statistics

Standard deviation	2.2654395
Coefficient of variation (CV)	0.37149477
Kurtosis	2.5644806
Mean	6.0981735
Median Absolute Deviation (MAD)	1
Skewness	1.1792052
Sum	2671
Variance	5.1322163
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
5	92	21.0%
6	81	18.5%
4	79	18.0%
7	56	12.8%
8	42	9.6%
3	25	5.7%
10	20	4.6%
9	19	4.3%
11	8	1.8%
2	6	1.4%
Other values (5)	10	2.3%

Value	Count	Frequency (%)
2	6	1.4%
3	25	5.7%
4	79	18.0%
5	92	21.0%
6	81	18.5%
7	56	12.8%
8	42	9.6%
9	19	4.3%
10	20	4.6%
11	8	1.8%

Value	Count	Frequency (%)
18	1	0.2%
16	1	0.2%
15	1	0.2%
13	2	0.5%
12	5	1.1%
11	8	1.8%
10	20	4.6%
9	19	4.3%
8	42	9.6%
7	56	12.8%

acousticness
Real number (ℝ)

High correlation Zeros

Distinct	80
Distinct (%)	18.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21.02968

Minimum	0
Maximum	89
Zeros	61
Zeros (%)	13.9%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	12
Q3	33.75
95-th percentile	73
Maximum	89
Range	89
Interquartile range (IQR)	31.75

Descriptive statistics

Standard deviation	24.301247
Coefficient of variation (CV)	1.155569
Kurtosis	0.29616858
Mean	21.02968
Median Absolute Deviation (MAD)	11
Skewness	1.1950014
Sum	9211
Variance	590.5506
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	61	13.9%
1	48	11.0%
2	22	5.0%
12	19	4.3%
4	18	4.1%
5	13	3.0%
11	11	2.5%
14	10	2.3%
6	10	2.3%
3	10	2.3%
Other values (70)	216	49.3%

Value	Count	Frequency (%)
0	61	13.9%
1	48	11.0%
2	22	5.0%
3	10	2.3%
4	18	4.1%
5	13	3.0%
6	10	2.3%
7	7	1.6%
8	8	1.8%
9	6	1.4%

Value	Count	Frequency (%)
89	1	0.2%
87	3	0.7%
86	2	0.5%
85	2	0.5%
84	1	0.2%
83	3	0.7%
82	2	0.5%
81	1	0.2%
80	2	0.5%
79	1	0.2%

backing_dancers
Real number (ℝ)

Zeros

Distinct	6
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.89954338

Minimum	0
Maximum	5
Zeros	290
Zeros (%)	66.2%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.4631866
Coefficient of variation (CV)	1.6265882
Kurtosis	0.55464367
Mean	0.89954338
Median Absolute Deviation (MAD)	0
Skewness	1.4034135
Sum	394
Variance	2.1409151
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	290	66.2%
4	41	9.4%
2	37	8.4%
1	36	8.2%
3	25	5.7%
5	9	2.1%

Value	Count	Frequency (%)
0	290	66.2%
1	36	8.2%
2	37	8.4%
3	25	5.7%
4	41	9.4%
5	9	2.1%

Value	Count	Frequency (%)
5	9	2.1%
4	41	9.4%
3	25	5.7%
2	37	8.4%
1	36	8.2%
0	290	66.2%

backing_singers
Real number (ℝ)

Zeros

Distinct	6
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.1004566

Minimum	0
Maximum	5
Zeros	277
Zeros (%)	63.2%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6105913
Coefficient of variation (CV)	1.4635664
Kurtosis	-0.26382141
Mean	1.1004566
Median Absolute Deviation (MAD)	0
Skewness	1.0971345
Sum	482
Variance	2.5940044
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	277	63.2%
3	48	11.0%
2	41	9.4%
4	36	8.2%
5	19	4.3%
1	17	3.9%

Value	Count	Frequency (%)
0	277	63.2%
1	17	3.9%
2	41	9.4%
3	48	11.0%
4	36	8.2%
5	19	4.3%

Value	Count	Frequency (%)
5	19	4.3%
4	36	8.2%
3	48	11.0%
2	41	9.4%
1	17	3.9%
0	277	63.2%

backing_instruments
Real number (ℝ)

High correlation Zeros

Distinct	6
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8196347

Minimum	0
Maximum	5
Zeros	297
Zeros (%)	67.8%
Negative	0
Negative (%)	0.0%
Memory size	3.6 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	1
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.432502
Coefficient of variation (CV)	1.7477323
Kurtosis	1.5748897
Mean	0.8196347
Median Absolute Deviation (MAD)	0
Skewness	1.6757211
Sum	359
Variance	2.0520621
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	297	67.8%
1	47	10.7%
2	27	6.2%
3	27	6.2%
4	23	5.3%
5	17	3.9%

Value	Count	Frequency (%)
0	297	67.8%
1	47	10.7%
2	27	6.2%
3	27	6.2%
4	23	5.3%
5	17	3.9%

Value	Count	Frequency (%)
5	17	3.9%
4	23	5.3%
3	27	6.2%
2	27	6.2%
1	47	10.7%
0	297	67.8%

qualified_10
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

1	257
0	181

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	438
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	257	58.7%
0	181	41.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1	257	58.7%
0	181	41.3%

Most occurring characters

Value	Count	Frequency (%)
1	257	58.7%
0	181	41.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	438	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
1	257	58.7%
0	181	41.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	438	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
1	257	58.7%
0	181	41.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	438	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
1	257	58.7%
0	181	41.3%

country_Andorra
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	437
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	0.2%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	437	99.8%
1.0	1	0.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	437	99.8%
1.0	1	0.2%

Most occurring characters

Value	Count	Frequency (%)
0	875	66.6%
.	438	33.3%
1	1	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	875	66.6%
.	438	33.3%
1	1	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	875	66.6%
.	438	33.3%
1	1	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	875	66.6%
.	438	33.3%
1	1	0.1%

country_Armenia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Australia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	432
1.0	6

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	432	98.6%
1.0	6	1.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	432	98.6%
1.0	6	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	870	66.2%
.	438	33.3%
1	6	0.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	870	66.2%
.	438	33.3%
1	6	0.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	870	66.2%
.	438	33.3%
1	6	0.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	870	66.2%
.	438	33.3%
1	6	0.5%

country_Austria
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Azerbaijan
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Belarus
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	427
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

country_Belgium
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Bosnia and Herzegovina
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	433
1.0	5

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	433	98.9%
1.0	5	1.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	433	98.9%
1.0	5	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	871	66.3%
.	438	33.3%
1	5	0.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	871	66.3%
.	438	33.3%
1	5	0.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	871	66.3%
.	438	33.3%
1	5	0.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	871	66.3%
.	438	33.3%
1	5	0.4%

country_Bulgaria
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Croatia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	427
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

country_Cyprus
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Czech Republic
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	430
1.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	430	98.2%
1.0	8	1.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	430	98.2%
1.0	8	1.8%

Most occurring characters

Value	Count	Frequency (%)
0	868	66.1%
.	438	33.3%
1	8	0.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	868	66.1%
.	438	33.3%
1	8	0.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	868	66.1%
.	438	33.3%
1	8	0.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	868	66.1%
.	438	33.3%
1	8	0.6%

country_Denmark
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Estonia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Finland
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Georgia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Greece
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Hungary
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Iceland
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Ireland
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Israel
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	427
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

country_Latvia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Lithuania
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Malta
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Moldova
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Montenegro
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Netherlands
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_North Macedonia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Norway
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Poland
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	427
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

country_Portugal
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	429
1.0	9

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	429	97.9%
1.0	9	2.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	429	97.9%
1.0	9	2.1%

Most occurring characters

Value	Count	Frequency (%)
0	867	66.0%
.	438	33.3%
1	9	0.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	867	66.0%
.	438	33.3%
1	9	0.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	867	66.0%
.	438	33.3%
1	9	0.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	867	66.0%
.	438	33.3%
1	9	0.7%

country_Romania
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Russia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_San Marino
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

country_Serbia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	427
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

country_Slovakia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	435
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	435	99.3%
1.0	3	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	435	99.3%
1.0	3	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

country_Slovenia
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	426
1.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	426	97.3%
1.0	12	2.7%

Most occurring characters

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	864	65.8%
.	438	33.3%
1	12	0.9%

country_Sweden
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	427
1.0	11

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	427	97.5%
1.0	11	2.5%

Most occurring characters

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	865	65.8%
.	438	33.3%
1	11	0.8%

country_Switzerland
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	425
1.0	13

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	425	97.0%
1.0	13	3.0%

Most occurring characters

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	863	65.7%
.	438	33.3%
1	13	1.0%

country_Turkey
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	435
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	435	99.3%
1.0	3	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	435	99.3%
1.0	3	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

country_Ukraine
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	428
1.0	10

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	428	97.7%
1.0	10	2.3%

Most occurring characters

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	866	65.9%
.	438	33.3%
1	10	0.8%

language_Mixed
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	397
1.0	41

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	397	90.6%
1.0	41	9.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	397	90.6%
1.0	41	9.4%

Most occurring characters

Value	Count	Frequency (%)
0	835	63.5%
.	438	33.3%
1	41	3.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	835	63.5%
.	438	33.3%
1	41	3.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	835	63.5%
.	438	33.3%
1	41	3.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	835	63.5%
.	438	33.3%
1	41	3.1%

language_Native
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	356
1.0	82

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	356	81.3%
1.0	82	18.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	356	81.3%
1.0	82	18.7%

Most occurring characters

Value	Count	Frequency (%)
0	794	60.4%
.	438	33.3%
1	82	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	794	60.4%
.	438	33.3%
1	82	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	794	60.4%
.	438	33.3%
1	82	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	794	60.4%
.	438	33.3%
1	82	6.2%

style_Dance
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	388
1.0	50

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	388	88.6%
1.0	50	11.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	388	88.6%
1.0	50	11.4%

Most occurring characters

Value	Count	Frequency (%)
0	826	62.9%
.	438	33.3%
1	50	3.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	826	62.9%
.	438	33.3%
1	50	3.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	826	62.9%
.	438	33.3%
1	50	3.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	826	62.9%
.	438	33.3%
1	50	3.8%

style_Opera
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	435
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	435	99.3%
1.0	3	0.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	435	99.3%
1.0	3	0.7%

Most occurring characters

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	873	66.4%
.	438	33.3%
1	3	0.2%

style_Pop
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	231
1.0	207

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	231	52.7%
1.0	207	47.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	231	52.7%
1.0	207	47.3%

Most occurring characters

Value	Count	Frequency (%)
0	669	50.9%
.	438	33.3%
1	207	15.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	669	50.9%
.	438	33.3%
1	207	15.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	669	50.9%
.	438	33.3%
1	207	15.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	669	50.9%
.	438	33.3%
1	207	15.8%

style_Rock
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	407
1.0	31

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	407	92.9%
1.0	31	7.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	407	92.9%
1.0	31	7.1%

Most occurring characters

Value	Count	Frequency (%)
0	845	64.3%
.	438	33.3%
1	31	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	845	64.3%
.	438	33.3%
1	31	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	845	64.3%
.	438	33.3%
1	31	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	845	64.3%
.	438	33.3%
1	31	2.4%

style_Traditional
Categorical

Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	403
1.0	35

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	403	92.0%
1.0	35	8.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	403	92.0%
1.0	35	8.0%

Most occurring characters

Value	Count	Frequency (%)
0	841	64.0%
.	438	33.3%
1	35	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	841	64.0%
.	438	33.3%
1	35	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	841	64.0%
.	438	33.3%
1	35	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	841	64.0%
.	438	33.3%
1	35	2.7%

gender_Male
Categorical

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	254
1.0	184

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	254	58.0%
1.0	184	42.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	254	58.0%
1.0	184	42.0%

Most occurring characters

Value	Count	Frequency (%)
0	692	52.7%
.	438	33.3%
1	184	14.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	692	52.7%
.	438	33.3%
1	184	14.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	692	52.7%
.	438	33.3%
1	184	14.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	692	52.7%
.	438	33.3%
1	184	14.0%

gender_Mix
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	3.6 KiB

0.0	400
1.0	38

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	1314
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	400	91.3%
1.0	38	8.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	400	91.3%
1.0	38	8.7%

Most occurring characters

Value	Count	Frequency (%)
0	838	63.8%
.	438	33.3%
1	38	2.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	838	63.8%
.	438	33.3%
1	38	2.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	838	63.8%
.	438	33.3%
1	38	2.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1314	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	838	63.8%
.	438	33.3%
1	38	2.9%

Interactions

Correlations

	BPM	acousticness	backing_dancers	backing_instruments	backing_singers	country_Andorra	country_Armenia	country_Australia	country_Austria	country_Azerbaijan	country_Belarus	country_Belgium	country_Bosnia and Herzegovina	country_Bulgaria	country_Croatia	country_Cyprus	country_Czech Republic	country_Denmark	country_Estonia	country_Finland	country_Georgia	country_Greece	country_Hungary	country_Iceland	country_Ireland	country_Israel	country_Latvia	country_Lithuania	country_Malta	country_Moldova	country_Montenegro	country_Netherlands	country_North Macedonia	country_Norway	country_Poland	country_Portugal	country_Romania	country_Russia	country_San Marino	country_Serbia	country_Slovakia	country_Slovenia	country_Sweden	country_Switzerland	country_Turkey	country_Ukraine	danceability	energy	gender_Male	gender_Mix	happiness	key	language_Mixed	language_Native	loudness(dB)	main_singers	qualified_10	semi_draw_position	style_Dance	style_Opera	style_Pop	style_Rock	style_Traditional
BPM	1.000	-0.228	0.077	-0.039	0.009	0.000	0.000	0.000	0.047	0.049	0.000	0.102	0.159	0.038	0.000	0.000	0.106	0.000	0.191	0.000	0.041	0.094	0.000	0.000	0.098	0.000	0.000	0.000	0.000	0.000	0.205	0.076	0.000	0.000	0.000	0.216	0.027	0.000	0.000	0.139	0.000	0.000	0.000	0.000	0.000	0.076	0.110	0.263	0.000	0.000	0.104	0.030	0.000	0.090	-0.172	0.015	0.000	0.121	0.223	0.000	0.135	0.065	0.130
acousticness	-0.228	1.000	-0.174	-0.061	-0.053	0.000	0.000	0.000	0.000	0.000	0.000	0.063	0.109	0.000	0.115	0.000	0.022	0.000	0.000	0.000	0.000	0.000	0.086	0.000	0.093	0.061	0.056	0.000	0.000	0.000	0.000	0.000	0.035	0.000	0.000	0.202	0.000	0.097	0.040	0.075	0.115	0.000	0.000	0.070	0.000	0.000	-0.226	-0.520	0.000	0.000	-0.266	0.020	0.000	0.210	0.211	-0.020	0.078	0.018	0.200	0.101	0.241	0.074	0.056
backing_dancers	0.077	-0.174	1.000	-0.314	-0.125	0.000	0.000	0.000	0.000	0.149	0.000	0.000	0.000	0.000	0.055	0.117	0.000	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.037	0.088	0.000	0.000	0.140	0.278	0.077	0.054	0.000	0.101	0.113	0.000	0.000	0.000	0.000	0.097	0.000	0.000	0.012	0.000	0.171	0.175	0.262	0.234	0.000	0.076	0.196	-0.045	0.233	0.041	-0.169	-0.147	0.056	-0.000	0.140	0.000	0.000	0.105	0.182
backing_instruments	-0.039	-0.061	-0.314	1.000	-0.057	0.153	0.000	0.000	0.000	0.044	0.100	0.000	0.178	0.107	0.000	0.000	0.084	0.106	0.000	0.147	0.051	0.000	0.064	0.000	0.158	0.000	0.060	0.000	0.064	0.000	0.000	0.000	0.000	0.000	0.010	0.000	0.107	0.000	0.000	0.000	0.181	0.022	0.028	0.139	0.028	0.000	-0.019	0.124	0.196	0.000	0.073	-0.030	0.071	0.139	-0.057	-0.022	0.117	-0.037	0.000	0.000	0.066	0.522	0.000
backing_singers	0.009	-0.053	-0.125	-0.057	1.000	0.104	0.000	0.000	0.088	0.058	0.000	0.000	0.000	0.000	0.078	0.083	0.000	0.039	0.000	0.000	0.000	0.061	0.101	0.132	0.096	0.127	0.058	0.019	0.038	0.000	0.000	0.081	0.000	0.000	0.153	0.000	0.000	0.000	0.084	0.000	0.104	0.000	0.000	0.029	0.000	0.000	0.010	0.114	0.047	0.072	0.059	0.132	0.000	0.053	-0.146	-0.058	0.114	-0.028	0.000	0.000	0.000	0.054	0.000
country_Andorra	0.000	0.000	0.000	0.153	0.104	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.119	0.000	0.000	0.190	0.000	0.047	0.000	0.694	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
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country_Norway	0.000	0.000	0.101	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.050	0.000	0.000	0.040	0.000	0.000	0.051	0.000	0.081	0.000	0.000	0.000	0.000
country_Poland	0.000	0.000	0.113	0.010	0.153	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.100	0.000	0.000	0.000	0.000	0.056	0.000	0.000	0.063	0.000	0.033	0.000	0.000	0.000	0.000	0.000
country_Portugal	0.216	0.202	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.089	0.167	0.000	0.000	0.000	0.000	0.000	0.193	0.395	0.219	0.000	0.000	0.000	0.000	0.030	0.000	0.094
country_Romania	0.027	0.000	0.000	0.107	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.000	0.000	0.046	0.040	0.000	0.000	0.000	0.079	0.081	0.000	0.000	0.000	0.000
country_Russia	0.000	0.097	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.102	0.000	0.000	0.000	0.000	0.000	0.067	0.025	0.000	0.009	0.066	0.000	0.000	0.000	0.000	0.000	0.000
country_San Marino	0.000	0.040	0.000	0.000	0.084	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.060	0.000	0.000	0.000	0.126	0.000	0.000	0.000	0.023	0.000	0.056	0.000	0.044	0.000	0.000	0.000	0.000
country_Serbia	0.139	0.075	0.097	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.149	0.000	0.000	0.000	0.000	0.000	0.000	0.198	0.000	0.100	0.000	0.000	0.000	0.000	0.000	0.000	0.073
country_Slovakia	0.000	0.115	0.000	0.181	0.104	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.095	0.000	0.046	0.000	0.112	0.052	0.000	0.000	0.000	0.017	0.000	0.000
country_Slovenia	0.000	0.000	0.000	0.022	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.062	0.054	0.000	0.000	0.000	0.000	0.000	0.055	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000
country_Sweden	0.000	0.000	0.012	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.097	0.000	0.000	0.000	0.104	0.077	0.000	0.033	0.107	0.000	0.077	0.000	0.000	0.000	0.000	0.000	0.000
country_Switzerland	0.000	0.070	0.000	0.139	0.029	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.070	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.033	0.052	0.000	0.000	0.000	0.000	0.000
country_Turkey	0.000	0.000	0.171	0.028	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.003	0.056	0.000	0.000	0.000	0.103	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.017	0.000	0.000
country_Ukraine	0.076	0.000	0.175	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.022	0.000	0.000	0.176	0.000	0.000	0.000	0.000	0.102	0.021	0.000	0.000	0.000	0.000	0.000
danceability	0.110	-0.226	0.262	-0.019	0.010	0.000	0.114	0.000	0.106	0.000	0.000	0.000	0.129	0.000	0.000	0.000	0.150	0.000	0.000	0.000	0.110	0.000	0.000	0.000	0.000	0.000	0.118	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.089	0.000	0.102	0.060	0.149	0.000	0.000	0.097	0.000	0.003	0.000	1.000	0.297	0.010	0.000	0.585	-0.018	0.127	0.168	-0.097	0.066	0.121	-0.028	0.119	0.212	0.276	0.000	0.138
energy	0.263	-0.520	0.234	0.124	0.114	0.119	0.000	0.000	0.091	0.098	0.000	0.093	0.000	0.112	0.000	0.000	0.000	0.000	0.160	0.089	0.000	0.000	0.114	0.000	0.125	0.000	0.000	0.105	0.000	0.076	0.000	0.000	0.000	0.000	0.100	0.167	0.000	0.000	0.000	0.000	0.000	0.062	0.000	0.070	0.056	0.000	0.297	1.000	0.000	0.052	0.538	-0.035	0.000	0.000	-0.672	0.157	0.052	0.005	0.265	0.000	0.203	0.138	0.035
gender_Male	0.000	0.000	0.000	0.196	0.047	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.090	0.000	0.000	0.000	0.000	0.000	0.024	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.054	0.000	0.000	0.000	0.022	0.010	0.000	1.000	0.250	0.096	0.056	0.000	0.000	0.000	0.063	0.052	0.000	0.000	0.000	0.000	0.183	0.000
gender_Mix	0.000	0.000	0.076	0.000	0.072	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.075	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.055	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.052	0.250	1.000	0.066	0.000	0.000	0.013	0.000	0.701	0.000	0.000	0.000	0.000	0.000	0.050	0.000
happiness	0.104	-0.266	0.196	0.073	0.059	0.190	0.000	0.017	0.102	0.118	0.000	0.075	0.100	0.000	0.000	0.089	0.076	0.000	0.000	0.000	0.058	0.000	0.000	0.055	0.000	0.000	0.071	0.126	0.109	0.125	0.000	0.033	0.000	0.050	0.000	0.000	0.000	0.000	0.126	0.000	0.000	0.000	0.104	0.000	0.000	0.000	0.585	0.538	0.096	0.066	1.000	0.037	0.147	0.000	-0.293	0.160	0.088	-0.061	0.215	0.128	0.212	0.105	0.087
key	0.030	0.020	-0.045	-0.030	0.132	0.000	0.051	0.000	0.000	0.000	0.000	0.023	0.257	0.000	0.019	0.128	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.128	0.000	0.000	0.081	0.112	0.174	0.000	0.000	0.215	0.029	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.095	0.000	0.077	0.000	0.103	0.176	-0.018	-0.035	0.056	0.000	0.037	1.000	0.089	0.000	-0.035	0.010	0.045	-0.010	0.065	0.034	0.108	0.000	0.101
language_Mixed	0.000	0.000	0.233	0.071	0.000	0.047	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.114	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.056	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.056	0.000	0.046	0.067	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.127	0.000	0.000	0.000	0.147	0.089	1.000	0.136	0.000	0.093	0.000	0.089	0.000	0.000	0.000	0.000	0.174
language_Native	0.090	0.210	0.041	0.139	0.053	0.000	0.000	0.000	0.000	0.040	0.000	0.047	0.072	0.000	0.025	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.042	0.000	0.047	0.000	0.040	0.000	0.047	0.000	0.042	0.000	0.000	0.040	0.000	0.193	0.040	0.025	0.000	0.198	0.046	0.000	0.033	0.000	0.000	0.000	0.168	0.000	0.000	0.013	0.000	0.000	0.136	1.000	0.079	0.172	0.027	0.067	0.053	0.000	0.185	0.000	0.210
loudness(dB)	-0.172	0.211	-0.169	-0.057	-0.146	0.694	0.000	0.000	0.055	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.082	0.000	0.000	0.000	0.000	0.000	0.000	0.080	0.000	0.000	0.000	0.158	0.000	0.032	0.000	0.071	0.000	0.000	0.000	0.395	0.000	0.000	0.023	0.000	0.000	0.055	0.107	0.000	0.000	0.000	-0.097	-0.672	0.000	0.000	-0.293	-0.035	0.000	0.079	1.000	-0.068	0.114	-0.055	0.066	0.000	0.076	0.021	0.141
main_singers	0.015	-0.020	-0.147	-0.022	-0.058	0.000	0.000	0.000	0.000	0.000	0.129	0.026	0.038	0.180	0.042	0.056	0.000	0.000	0.000	0.000	0.000	0.189	0.000	0.121	0.000	0.000	0.000	0.112	0.000	0.000	0.075	0.088	0.000	0.000	0.063	0.219	0.000	0.009	0.000	0.100	0.112	0.000	0.000	0.000	0.000	0.000	0.066	0.157	0.063	0.701	0.160	0.010	0.093	0.172	-0.068	1.000	0.000	0.026	0.000	0.000	0.000	0.000	0.111
qualified_10	0.000	0.078	0.056	0.117	0.114	0.000	0.000	0.000	0.000	0.086	0.000	0.000	0.000	0.000	0.073	0.000	0.000	0.000	0.000	0.000	0.000	0.062	0.017	0.000	0.033	0.000	0.120	0.000	0.000	0.000	0.093	0.000	0.120	0.051	0.000	0.000	0.000	0.066	0.056	0.000	0.052	0.000	0.077	0.033	0.000	0.102	0.121	0.052	0.052	0.000	0.088	0.045	0.000	0.027	0.114	0.000	1.000	0.195	0.037	0.000	0.079	0.000	0.017
semi_draw_position	0.121	0.018	-0.000	-0.037	-0.028	0.000	0.073	0.000	0.073	0.079	0.000	0.054	0.071	0.083	0.025	0.062	0.000	0.048	0.000	0.000	0.071	0.000	0.000	0.042	0.171	0.083	0.050	0.000	0.118	0.000	0.036	0.000	0.171	0.000	0.033	0.000	0.079	0.000	0.000	0.000	0.000	0.000	0.000	0.052	0.000	0.021	-0.028	0.005	0.000	0.000	-0.061	-0.010	0.089	0.067	-0.055	0.026	0.195	1.000	0.059	0.000	0.000	0.000	0.128
style_Dance	0.223	0.200	0.140	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.031	0.000	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.081	0.000	0.000	0.081	0.000	0.044	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.119	0.265	0.000	0.000	0.215	0.065	0.000	0.053	0.066	0.000	0.037	0.059	1.000	0.000	0.330	0.070	0.079
style_Opera	0.000	0.101	0.000	0.000	0.000	0.000	0.000	0.098	0.000	0.000	0.000	0.000	0.000	0.000	0.058	0.000	0.000	0.000	0.047	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.212	0.000	0.000	0.000	0.128	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.017	0.000	0.000
style_Pop	0.135	0.241	0.000	0.066	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.042	0.000	0.000	0.013	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.047	0.063	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.030	0.000	0.000	0.000	0.000	0.017	0.000	0.000	0.000	0.017	0.000	0.276	0.203	0.000	0.000	0.212	0.108	0.000	0.185	0.076	0.000	0.079	0.000	0.330	0.017	1.000	0.248	0.267
style_Rock	0.065	0.074	0.105	0.522	0.054	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.137	0.000	0.127	0.096	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.138	0.183	0.050	0.105	0.000	0.000	0.000	0.021	0.000	0.000	0.000	0.070	0.000	0.248	1.000	0.044
style_Traditional	0.130	0.056	0.182	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.094	0.000	0.000	0.000	0.073	0.000	0.000	0.000	0.000	0.000	0.000	0.138	0.035	0.000	0.000	0.087	0.101	0.174	0.210	0.141	0.111	0.017	0.128	0.079	0.000	0.267	0.044	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

	semi_draw_position	main_singers	key	BPM	energy	danceability	happiness	loudness(dB)	acousticness	backing_dancers	backing_singers	backing_instruments	qualified_10	country_Bulgaria	country_Latvia	country_Lithuania	country_Moldova	country_Netherlands	country_Portugal	country_Slovenia	country_Switzerland	country_Ukraine	language_Mixed	language_Native	style_Pop	style_Rock	style_Traditional	gender_Male
0	1	1	174.61	100	70	76	45	6	5	5	0	0	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	0.0
1	2	1	246.94	115	69	75	59	8	1	0	0	4	0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0
2	3	1	261.63	93	56	68	50	8	9	0	0	0	1	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0
3	4	1	349.23	116	18	42	39	11	87	0	0	0	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0
4	5	1	164.81	120	61	68	60	6	0	0	0	4	0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0	0.0	0.0	1.0
5	6	1	293.66	105	82	83	32	5	14	1	2	2	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	1.0	1.0
6	7	1	293.66	80	84	52	72	8	3	0	0	5	0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0
7	8	1	146.83	87	48	32	15	6	39	0	0	0	1	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0
8	9	1	261.63	142	88	70	96	3	41	0	0	5	1	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	1.0
9	10	6	233.08	83	34	64	38	11	68	0	0	0	1	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0

	semi_draw_position	main_singers	key	BPM	energy	danceability	happiness	loudness(dB)	acousticness	backing_dancers	backing_singers	backing_instruments	qualified_10	country_Azerbaijan	country_Estonia	country_Greece	country_Hungary	country_Lithuania	country_Moldova	country_Netherlands	country_Slovenia	country_Ukraine	language_Mixed	language_Native	style_Dance	style_Pop	style_Traditional	gender_Male	gender_Mix
428	10	1	440.00	132	92	62	40	2	1	0	0	4	0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0	0.0	1.0	0.0	0.0	0.0
429	11	1	415.30	125	96	66	81	4	0	3	2	0	0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0
430	12	2	311.13	108	95	65	71	2	10	3	0	0	1	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0
431	13	1	369.99	128	92	65	65	5	4	4	0	0	1	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	1.0	0.0
432	14	1	220.00	103	58	35	40	8	67	0	3	1	1	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	1.0	0.0
433	15	1	369.99	90	86	57	52	5	4	4	1	0	1	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0
434	16	1	207.65	128	67	68	67	8	0	3	2	0	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0
435	17	1	369.99	125	92	61	85	4	1	5	0	0	1	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0
436	18	1	174.61	124	72	69	64	6	3	0	2	3	1	0.0	1.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0
437	19	3	415.30	132	89	66	79	5	4	0	3	0	0	0.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	0.0	0.0	0.0	0.0	1.0	0.0	1.0	0.0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)